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Catalogue Information
Field name	Details
Dewey Class	518
Dewey Class	518
Title	Visualization and Processing of Tensor Fields (EB) : Advances and Perspectives / edited by David Laidlaw, Joachim Weickert.
Author	Laidlaw, David
Added Personal Name	Weickert, Joachim
Other name(s)	SpringerLink (Online service)
Publication	Berlin, Heidelberg : Springer , 2009.
Physical Details	386 pages : online resource.
Series	Mathematics and visualization 1612-3786
ISBN	9783540883784
Summary Note	Visualisation and Processing of Tensor Fields provides researchers an inspirational look at how to process and visualize complicated 2D and 3D images known as tensor fields. Tensor fields are the natural representation for many physical quantities; they can describe how water moves around in the brain, how gravity varies around the earth, or how materials are stressed and deformed. With its numerous color figures, this book helps the reader understand both the underlying mathematics and the applications of tensor fields. The reader also will learn about the most recent research topics and open research questions.:
Contents note	Part i models for diffusion mri -- Part ii higher-level analysis of diffusion images -- Part iii tensor field visualization -- Part iv tensor field analysis in the physical sciences -- Part v tensor image structure models -- Part vi filtering with tensors.
System details note	Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site	http://dx.doi.org/10.1007/978-3-540-88378-4
Links to Related Works	Subject References: Computational Mathematics and Numerical Analysis . Computer Imaging, Vision, Pattern Recognition and Graphics . Computer Science . Computer vision . Image processing . Image Processing and Computer Vision . Mathematics . Mathematics of Computing . Authors: editor . Laidlaw, David . Weickert, Joachim . Corporate Authors: SpringerLink (Online service) . Series: Mathematics and visualization . Classification: 518 .

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Visualization and Processing of Tensor Fields: Advances and Perspectives /

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